Energy conservation oriented game theory QoS based routing method for sensing UAV cluster communications

Abstract

The present invention discloses an energy conservation oriented game theory QoS based routing method for sensing UAV cluster communications. The method is characterized by comprising a first step of establishing a cache queue queuing model for an UAV cluster adhoc; a second step of collecting statistics, by each node, about a probability of each type of service periodically; a third step of predicting a thermal service type of a next period by using a poisson model; a fourth step of performing node classification ranking by referring to a channel QoS feature, so as to select a path; a fifth step of performing directional scheduling application by the node according to a ranking result, so as to reduce ineffective broadcast; a sixth step of making advantage and disadvantage evaluation by the next hop of node according to a game model; and a seventh step of determining whether to receive a communications application according to an evaluation result. The method has the beneficial effects of dynamically selecting the path according to a load condition of the UAV adhoc, realizing optimized distribution of wireless link resources, improving the communications working capability of the UAV in a complex environment to the greatest extent, lowering energy consumption, and prolonging the standby time.

Description

technical field [0001] The invention relates to an energy-saving-based QoS-aware UAV group communication routing method based on game theory, and belongs to the technical field of UAV communication. Background technique [0002] When a disaster occurs, the drone swarm can significantly enhance the on-site emergency rescue personnel's ability to grasp the disaster situation. Through mobile internet transmission, the UAV group transmits video media to the ground command center through the over-the-horizon wireless network, and immediately feeds back the situation of the disaster to the emergency command leader, providing technical support for emergency command decision-making, thereby improving disaster recovery. Emergency rescue efficiency. [0003] The average battery life of UAVs currently used in this field is short, which can only meet certain aerial photography needs. In natural disasters and in-depth rescue and relief sites, limited battery energy makes the drone's ba...

AI Technical Summary

Problems solved by technology

All of the above studies have jumped out of the traditional routine of path selection based on the minimum number of hops. However, the path evaluation criteria are relatively single, and the impact of node processing capabilities on relay quality is not considered comprehensively. There is no requirement for low energy consumption, and there are no different QoS requirements for path selection of heterogeneous multimedia services carried in the ad hoc network

Images